The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with primates.In recent year...The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with primates.In recent years,significant advances have facilitated tree shrew studies,including the determination of the tree shrew genome,genetic manipulation using spermatogonial stem cells,viral vector-mediated gene delivery,and mapping of the tree shrew brain atlas.However,the limited availability of tree shrews globally remains a substantial challenge in the field.Additionally,determining the key questions best answered using tree shrews constitutes another difficulty.Tree shrew models have historically been used to study hepatitis B virus(HBV)and hepatitis C virus(HCV)infection,myopia,and psychosocial stress-induced depression,with more recent studies focusing on developing animal models for infectious and neurodegenerative diseases.Despite these efforts,the impact of tree shrew models has not yet matched that of rodent or NHP models in biomedical research.This review summarizes the prominent advancements in tree shrew research and reflects on the key biological questions addressed using this model.We emphasize that intensive dedication and robust international collaboration are essential for achieving breakthroughs in tree shrew studies.The use of tree shrews as a unique resource is expected to gain considerable attention with the application of advanced techniques and the development of viable animal models,meeting the increasing demands of life science and biomedical research.展开更多
Recent fast advance in biomedical research at the“omic”levels has led to an explosion of big data for the understanding the molecular makeup of diseases,which have revealed the intimate unmatched relationships betwe...Recent fast advance in biomedical research at the“omic”levels has led to an explosion of big data for the understanding the molecular makeup of diseases,which have revealed the intimate unmatched relationships between the genomic variabilities and the current organ-or system-based definition and classification of disease in Western medi⁃cine.The major challenges in the effort to establish and develop precision medicine are how diseases should be defined and classified in an integrated systemic or omic scale and also on an individualized basis.The phenomics approach to the understanding of diseases will allow the transition from focused phenotype/genotype studies to a systemic largescale phenome and genome,proteome,metabolome approach and the identification of a systemically integrated setof biomarkers for diagnosis and prognosis of disease phenome(or Zhenghou).Phenome-wide associated study(PheWAS)may soon lead the field of medical research and provide insightful and novel clues for redefinition of the disease phenome and its clinical classifications and personalized treatment and ultimately precision medicine.Pharma⁃cophenomics is to characterize the phenomes of drug response and also to identify the corresponding therapeutic targets at the level of systems biology.As a complement of pharmacogenomics/proteomics/metabolomics,pharmacoph⁃enomics offers a suite of new technologies and platforms for the transition from focused phenotype-genotype study to a systematic phenome-genome approach and refine drug research with systematically-defined drug response and thera⁃peutic targets.Therefore,pharmacophenomics will provide a new paradigm for the study of drug response including effects and toxicities at the level of systems biology and will identify the corresponding therapeutic targets and principles for combination treatment and prevention of disease using Fangji or Fufang that takes into account individual variability in genes,environment,and lifestyle for each person.展开更多
Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most mod...Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most modern crop phenomics use different sensors to collect reflective,emitted,and fluorescence signals,etc.,from plant organs at different spatial and temporal resolutions.Such multi-modal,high-dimensional data not only accelerates basic research on crop physiology,genetics,and whole plant systems modeling,but also supports the optimization of field agronomic practices,internal environments of plant factories,and ultimately crop breeding.Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection,management,sharing,and processing,developing capabilities to measure physiological parameters,and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.展开更多
[目的]文献计量方法可以用于反映和预测科学技术发展的历史和趋势。本文基于科学大数据的计量方法探讨植物表型组学的研究现状,为植物表型组学的发展提供参考。[方法]基于Scopus数据库,分析2013年—2018年9月数据库中植物表型组学及其...[目的]文献计量方法可以用于反映和预测科学技术发展的历史和趋势。本文基于科学大数据的计量方法探讨植物表型组学的研究现状,为植物表型组学的发展提供参考。[方法]基于Scopus数据库,分析2013年—2018年9月数据库中植物表型组学及其相关学术产出的文献数量、引用次数、合作单位、研究方向、学术机构和科研团队等信息,利用Sci Val和Cite Space 5.0等统计分析工具,运用可视化数据方法,分析植物表型组学研究领域的发展特点和趋势。[结果]基于Scopus共检索到与植物表型组学研究和应用相关的文献共20 953篇,总被引数217 105,TOP1%高被引论文为2.0%。相关学术产出总被引量TOP10的国家是美国、中国、德国、英国、法国、日本、澳大利亚、西班牙、加拿大和荷兰。相关论文被引总量TOP10的机构分别是中国科学院、法国国家农业研究院、美国农业部、法国国家科学研究院、中国农业科学院、美国康奈尔大学、西班牙高等科学研究委员会、美国加州大学戴维斯分校、法国巴黎萨克莱大学、荷兰瓦赫宁根大学。学术产出最多的学者是德国克斯·普朗克分子植物生理研究所的Alisdair Robert Fernie,共发表58篇植物细胞表型论文,被引1 246次。目前植物表型组学研究的植物种类较少,主要包括拟南芥、水稻、小麦、玉米、番茄和大豆。[结论]作为一个新兴的研究方向,植物表型组学体现出作物栽培、育种、生物学与计算机科学等多学科交叉发展的特性。高通量图像及相关数据分析是现阶段植物表型组学的重要研究方向,主题显著度指数达到98.8%,受关注度极高。展开更多
基金supported by the STI2030-Major Projects(2021ZD0200900 to Y.G.Y.)"Light of West China" Program of the Chinese Academy of Sciences(xbzg-zdsys-202302 to Y.G.Y.)
文摘The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with primates.In recent years,significant advances have facilitated tree shrew studies,including the determination of the tree shrew genome,genetic manipulation using spermatogonial stem cells,viral vector-mediated gene delivery,and mapping of the tree shrew brain atlas.However,the limited availability of tree shrews globally remains a substantial challenge in the field.Additionally,determining the key questions best answered using tree shrews constitutes another difficulty.Tree shrew models have historically been used to study hepatitis B virus(HBV)and hepatitis C virus(HCV)infection,myopia,and psychosocial stress-induced depression,with more recent studies focusing on developing animal models for infectious and neurodegenerative diseases.Despite these efforts,the impact of tree shrew models has not yet matched that of rodent or NHP models in biomedical research.This review summarizes the prominent advancements in tree shrew research and reflects on the key biological questions addressed using this model.We emphasize that intensive dedication and robust international collaboration are essential for achieving breakthroughs in tree shrew studies.The use of tree shrews as a unique resource is expected to gain considerable attention with the application of advanced techniques and the development of viable animal models,meeting the increasing demands of life science and biomedical research.
文摘Recent fast advance in biomedical research at the“omic”levels has led to an explosion of big data for the understanding the molecular makeup of diseases,which have revealed the intimate unmatched relationships between the genomic variabilities and the current organ-or system-based definition and classification of disease in Western medi⁃cine.The major challenges in the effort to establish and develop precision medicine are how diseases should be defined and classified in an integrated systemic or omic scale and also on an individualized basis.The phenomics approach to the understanding of diseases will allow the transition from focused phenotype/genotype studies to a systemic largescale phenome and genome,proteome,metabolome approach and the identification of a systemically integrated setof biomarkers for diagnosis and prognosis of disease phenome(or Zhenghou).Phenome-wide associated study(PheWAS)may soon lead the field of medical research and provide insightful and novel clues for redefinition of the disease phenome and its clinical classifications and personalized treatment and ultimately precision medicine.Pharma⁃cophenomics is to characterize the phenomes of drug response and also to identify the corresponding therapeutic targets at the level of systems biology.As a complement of pharmacogenomics/proteomics/metabolomics,pharmacoph⁃enomics offers a suite of new technologies and platforms for the transition from focused phenotype-genotype study to a systematic phenome-genome approach and refine drug research with systematically-defined drug response and thera⁃peutic targets.Therefore,pharmacophenomics will provide a new paradigm for the study of drug response including effects and toxicities at the level of systems biology and will identify the corresponding therapeutic targets and principles for combination treatment and prevention of disease using Fangji or Fufang that takes into account individual variability in genes,environment,and lifestyle for each person.
基金supported by National Research and Development Program of Ministry of Science and Technology of China(2020YFA0907600,2018YFA0900600,2019YFA09004600)Strategic Priority Research Program of the Chinese Academy of Sciences(XDB27020105,XDB37020104,XDA24010203,XDA0450202)+2 种基金National Science Foundation of China(31870214)the National Key Research and Development Program of China(2023YFF1000100)STI2030eMajor Projects(2023ZD04076).
文摘Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most modern crop phenomics use different sensors to collect reflective,emitted,and fluorescence signals,etc.,from plant organs at different spatial and temporal resolutions.Such multi-modal,high-dimensional data not only accelerates basic research on crop physiology,genetics,and whole plant systems modeling,but also supports the optimization of field agronomic practices,internal environments of plant factories,and ultimately crop breeding.Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection,management,sharing,and processing,developing capabilities to measure physiological parameters,and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.
文摘[目的]文献计量方法可以用于反映和预测科学技术发展的历史和趋势。本文基于科学大数据的计量方法探讨植物表型组学的研究现状,为植物表型组学的发展提供参考。[方法]基于Scopus数据库,分析2013年—2018年9月数据库中植物表型组学及其相关学术产出的文献数量、引用次数、合作单位、研究方向、学术机构和科研团队等信息,利用Sci Val和Cite Space 5.0等统计分析工具,运用可视化数据方法,分析植物表型组学研究领域的发展特点和趋势。[结果]基于Scopus共检索到与植物表型组学研究和应用相关的文献共20 953篇,总被引数217 105,TOP1%高被引论文为2.0%。相关学术产出总被引量TOP10的国家是美国、中国、德国、英国、法国、日本、澳大利亚、西班牙、加拿大和荷兰。相关论文被引总量TOP10的机构分别是中国科学院、法国国家农业研究院、美国农业部、法国国家科学研究院、中国农业科学院、美国康奈尔大学、西班牙高等科学研究委员会、美国加州大学戴维斯分校、法国巴黎萨克莱大学、荷兰瓦赫宁根大学。学术产出最多的学者是德国克斯·普朗克分子植物生理研究所的Alisdair Robert Fernie,共发表58篇植物细胞表型论文,被引1 246次。目前植物表型组学研究的植物种类较少,主要包括拟南芥、水稻、小麦、玉米、番茄和大豆。[结论]作为一个新兴的研究方向,植物表型组学体现出作物栽培、育种、生物学与计算机科学等多学科交叉发展的特性。高通量图像及相关数据分析是现阶段植物表型组学的重要研究方向,主题显著度指数达到98.8%,受关注度极高。
